With rising male infertility, sperm head morphology classification becomes critical for accurate and timely clinical diagnosis. Recent deep learning (DL) morphology analysis methods achieve promising benchmark results, but leave performance and robustness on the table by relying on limited and possibly noisy class labels. To address this, we introduce a new DL training framework that leverages anatomical and image priors from human sperm microscopy crops to extract useful features without additional labeling cost. Our core idea is to distill sperm head information with reliably-generated pseudo-masks and unsupervised spatial prediction tasks. The predicted foreground masks from this distillation step are then leveraged to regularize and reduce image and label noise in the tuning stage. We evaluate our new approach on two public sperm datasets and achieve state-of-the-art performances (e.g. 65.9% SCIAN accuracy and 96.5% HuSHeM accuracy).
Anatomical Consistency Distillation and Inconsistency Synthesis for Brain Tumor Segmentation with Missing Modalities
University of Science and Technology of China（中国科学技术大学）；Tianjin University（天津大学）；Beijing Tiantan Hospital, Capital Medical University（首都医科大学附属北京天坛医院）；Hefei Comprehensive National Science Center（合肥综合性国家科学中心）
Displacement Preserving Relational Distillation for Robust Medical Segmentation
Bowling Green State University（鲍灵格林州立大学）；The University of Findlay（芬德利大学）；University of Alabama at Birmingham（阿拉巴马大学伯明翰分校）；University of Toronto（多伦多大学）；University of Houston - Clear Lake（休斯顿大学清水湖分校）；UTHealth Houston（德克萨斯大学健康科学中心休斯顿分校）
Knowledge Distillation Approach for SOS Fusion Staging: Towards Fully Automated Skeletal Maturity Assessment
Department of Electrical and Computer Engineering, University of Illinois Chicago（伊利诺伊大学芝加哥分校电气与计算机工程系）；Department of Orthodontics, College of Dentistry, University of Illinois Chicago（伊利诺伊大学芝加哥分校牙科学院正畸学系）；University of Orleans（奥尔良大学）
Self-supervised Learning of Echocardiographic Video Representations via Online Cluster Distillation
Department of Engineering Science, University of Oxford（工程科学系，牛津大学）；Nuffield Department of Women’s and Reproductive Health, University of Oxford（妇女与生殖健康系，牛津大学）；Fundamental AI Lab, University of Technology Nuremberg（基础人工智能实验室，纽伦堡技术大学）；University of Amsterdam（阿姆斯特丹大学）
Weighted Knowledge Distillation for Semi-Supervised Segmentation of Maxillary Sinus in Panoramic X-ray Images
Division of Electronics and Information Engineering, College of Engineering, Jeonbuk National University（全罗国立大学电子与信息工程系）；Manufacturing AI Research Center, Korea Institute of Industrial Technology (KITECH)（韩国工业技术研究院制造人工智能研究中心）；KITECH School, University of Science and Technology, Cheonan（科技大学校KITECH学院）；The Graduate School of Advanced Imaging Science, Multimedia & Film, Chung-Ang University（Chung-Ang大学高级影像科学研究生院，多媒体与电影）；Department of Oral and Maxillofacial Radiology and Wonkwang Dental Research Institute, College of Dentistry, Wonkwang University（Wonkwang大学口腔颌面放射科及Wonkwang牙科研究所）
OsteoFlow: Lyapunov-Guided Flow Distillation for Predicting Bone Remodeling after Mandibular Reconstruction
Department of Electrical and Computer Engineering, University of British Columbia, Canada（电气与计算机工程系，不列颠哥伦比亚大学，加拿大）；Department of Mechanical Engineering, University of British Columbia, Canada（机械工程系，不列颠哥伦比亚大学，加拿大）；Department of Surgery, University of British Columbia, Canada（外科系，不列颠哥伦比亚大学，加拿大）；Sunnybrook Research Institute, University of Toronto, Canada（阳光医院研究学院，多伦多大学，加拿大）
ReCo-KD: Region- and Context-Aware Knowledge Distillation for Efficient 3D Medical Image Segmentation
McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston (UTHealth Houston)（麦威廉生物医学信息学学院，德克萨斯大学健康科学中心休斯顿分校（UTHealth休斯顿））
Cross-Modal Knowledge Distillation for PET-Free Amyloid-Beta Detection from MRI
Dublin City University（都柏林城市大学）；Insight Research Ireland Centre for Data Analytics（爱尔兰Insight研究数据分析师中心）；St. Vincent’s University Hospital（圣文森医院）；University College Dublin（都柏林大学）
Uncovering Latent Pathological Signatures in Pulmonary CT via Cross-Window Knowledge Distillation
Institute of Health Informatics, University College London（伦敦大学学院健康信息学研究所）；Department of Pulmonary and Critical Care Medicine, Shanghai East Hospital, School of Medicine, Tongji University（同济大学医学院 pulmonary and critical care medicine 部门，上海东方医院）；Queen Mary University of London（伦敦女王玛丽大学）；School of Health and Wellbeing, University of Glasgow（格拉斯哥大学健康与福祉学院）
Magnification-Aware Distillation (MAD): A Self-Supervised Framework for Unified Representation Learning in Gigapixel Whole-Slide Images
Center for Applied Artificial Intelligence, University of Kentucky（应用人工智能中心，肯塔基大学）；Sanders-Brown Center on Aging, University of Kentucky（老龄化桑德斯-布朗中心，肯塔基大学）；Department of Electrical and Computer Engineering, University of Kentucky（电气与计算机工程系，肯塔基大学）；Division of Neuropathology, University of Pittsburgh（神经病理学部，匹兹堡大学）；Department of Biomedical Informatics, Emory University（生物医学信息学系，埃默里大学）；Department of Pathology and Laboratory Medicine, University of California Davis（病理学与实验室医学系，加州大学戴维斯分校）；Department of Laboratory Medicine and Pathology, University of Texas Health（实验室医学与病理学系，德克萨斯大学健康科学中心）
SlideGCD: Slide-based Graph Collaborative Training with Knowledge Distillation for Whole Slide Image Classification
School of Computer Science and Information Engineering, Hefei University of Technology（合肥工业大学计算机与信息工程学院）；School of Software, Hefei University of Technology（合肥工业大学软件学院）；Image Processing Center, School of Astronautics, Beihang University（北京航空航天大学宇航学院图像处理中心）；Beijing Advanced Innovation Center on Biomedical Engineering（北京生物医学工程高精尖创新中心）
AlignUS: MRI-Guided Ultrasound Representation Learning for ALS Classification from Tongue Images
Unité de Recherche en Systèmes Intelligents Avancés (URSIA), Institut Supérieur du Numérique (SupNum)（高级智能系统研究单位（URSIA），数字高等学院（SupNum））；University of Basel（巴塞尔大学）
Unified and Semantically Grounded Domain Adaptation for Medical Image Segmentation
Department of Electrical and Computer Engineering, University of Washington（电气与计算机工程系，华盛顿大学）；Department of Bioengineering, University of Washington（生物工程系，华盛顿大学）；Department of Radiology, University of Washington（放射学系，华盛顿大学）；Department of Electrical and Computer Engineering and Paul G. Allen School of Computer Science and Engineering, University of Washington（电气与计算机工程系及保罗·G·阿伦计算机科学与工程学院，华盛顿大学）；Department of Radiology and Imaging Sciences, University of Utah（放射学与影像科学系，犹他大学）
Rapid Bone Scintigraphy Enhancement via Semantic Prior Distillation from Segment Anything Model
Department of Nuclear Medicine, Shanghai Children’s Hospital, School of Medicine, Shanghai Jiao Tong University（核医学科，上海儿童医学中心，上海交通大学医学院）；School of Microelectronics, Shanghai University（微电子学院，上海大学）；Department of Ophthalmology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine（眼科，瑞金医院，上海交通大学医学院）；Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology（电子与计算机工程系，香港科学与技术大学）；School of Software Engineering, Sun Yat-sen University（软件工程学院，中山大学）；College of Computer Science and Electronic Engineering, Hunan University（计算机科学与电子工程学院，湖南大学）；School of Computer Science and Technology, Henan Polytechnic University（计算机科学与技术学院，河南理工大学）
本文首次将 SAM 语义先验引入医学图像恢复，通过级联网络和三个语义模块增强儿科快速骨闪烁显像，并构建首个专用数据集 RBS，在多项指标上优于现有方法。
Enhancing and Adapting in the Clinic: Source-free Unsupervised Domain Adaptation for Medical Image Enhancement
Southern University of Science and Technology（南方科技大学）；Agency for Science, Technology and Research（新加坡科技研究局）；Beijing Information Science and Technology University（北京信息科技大学）；University of Science and Technology Beijing（北京科技大学）
TAMISeg: Text-Aligned Multi-scale Medical Image Segmentation with Semantic Encoder Distillation
Department of Data Science and AI, Monash University（蒙纳士大学数据科学与人工智能系）；College of Computer Science, Chongqing University（重庆大学计算机学院）；Chongqing University Central Hospital, School of Medicine（重庆大学附属中心医院医学院）
Efficient endometrial carcinoma screening via cross-modal synthesis and gradient distillation
School of Medical Information and Engineering, Southwest Medical University（西南医科大学医学信息与工程学院）；School of Computer Science and Engineering, University of Electronic Science and Technology of China（电子科技大学计算机科学与工程学院）；Department of Ultrasound, Affiliated Hospital of Southwest Medical University（西南医科大学附属医院超声科）；Department of Functional Examination Unit, Zibo Hospital of Traditional Chinese Medicine（淄博中医药医院功能检查科）；Key Laboratory of Medical Electrophysiology, Ministry of Education& Medical Electrophysiological Key Laboratory of Sichuan Province, Institute of Cardiovascular Research, Southwest Medical University（教育部医学电生理重点实验室、四川省医学电生理重点实验室、西南医科大学心血管研究所）；Department of Radiology, the First Affiliated Hospital of Chongqing Medical University（重庆医科大学第一附属医院放射科）；Department of Cardiology, Affiliated Hospital of Southwest Medical University（西南医科大学附属医院心内科）；International Research Center for Complexity Sciences, Hangzhou International Innovation Institute, Beihang University（北京航空航天大学杭州国际创新研究院复杂科学研究中心）；Institute of Intelligent Chinese Medicine, Chongqing University of Chinese Medicine（重庆中医药大学智能中药研究院）；Basic Medicine Research Innovation Center for Cardiometabolic Diseases, Ministry of Education, Southwest Medical University（教育部心脑血管疾病基础医学研究创新中心、西南医科大学）
Low-Level Dataset Distillation for Medical Image Enhancement
School of Cyber Science and Engineering, Sichuan University（四川大学计算机科学与工程学院）；The Chinese University of Hong Kong（香港中文大学）；Agency for Science, Technology and Research (A*STAR)（科技研究局）
REACT-KD: Region-Aware Cross-modal Topological Knowledge Distillation for Interpretable Medical Image Classification
Department of Health Technology and Informatics, Hong Kong Polytechnic University（健康科技与信息技术系，香港理工大学）；Department of Nuclear Medicine and PET, Hong Kong Sanatorium and Hospital（核医学与PET部门，香港疗养院及医院）
Distillation Learning Guided by Image Reconstruction for One-Shot Medical Image Segmentation
School of Artificial Intelligence, Beijing University of Posts and Telecommunications（北京邮电大学人工智能学院）；Peking University Third Hospital（北京大学第三医院）；Beijing Children’s Hospital, Capital Medical University（首都医科大学附属北京儿童医院）；Duke University（杜克大学）
CT-based Subchondral Bone Microstructural Analysis in Knee Osteoarthritis via MR-Guided Distillation Learning
School of Biomedical Engineering, Shanghai Jiao Tong University（上海交通大学生物医学工程学院）；Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine（上海交通大学医学院附属第九人民医院）
